Noise predictive belief propagation

Mustafa N. Kaynak; Tolga M. Duman; Erozan M. Kurtas

Noise predictive belief propagation

Mustafa N. Kaynak, Tolga M. Duman, Erozan M. Kurtas

Electrical, Computer, and Energy Engineering, School of (IAFSE-ECEE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

We introduce iterative noise whitening for belief propagation (BP) based channel detectors over inter-symbol interference (ISI) channels with correlated noise. Called noise predictive belief propagation (NPBP), the new scheme iteratively whitens the noise samples by modifying the edge probability computation of the BP algorithm. NPBP detectors based on finite impulse response (FIR) and infinite impulse response (IIR) prediction filters are introduced. In addition, we propose a novel prediction filter optimization method leading to a better noise whitening performance. Simulation results for both coded and uncoded systems and comparisons with maximum a posteriori (MAP) and BP detectors show that, significant improvements can be obtained.

Original language	English (US)
Title of host publication	IEEE International Conference on Communications
Pages	704-708
Number of pages	5
Volume	1
State	Published - 2005
Event	2005 IEEE International Conference on Communications, ICC 2005 - Seoul, Korea, Republic of Duration: May 16 2005 → May 20 2005

Other

Other	2005 IEEE International Conference on Communications, ICC 2005
Country/Territory	Korea, Republic of
City	Seoul
Period	5/16/05 → 5/20/05

ASJC Scopus subject areas

Media Technology

Cite this

@inproceedings{5e80623ff33244cda365562a97b8b167,

title = "Noise predictive belief propagation",

abstract = "We introduce iterative noise whitening for belief propagation (BP) based channel detectors over inter-symbol interference (ISI) channels with correlated noise. Called noise predictive belief propagation (NPBP), the new scheme iteratively whitens the noise samples by modifying the edge probability computation of the BP algorithm. NPBP detectors based on finite impulse response (FIR) and infinite impulse response (IIR) prediction filters are introduced. In addition, we propose a novel prediction filter optimization method leading to a better noise whitening performance. Simulation results for both coded and uncoded systems and comparisons with maximum a posteriori (MAP) and BP detectors show that, significant improvements can be obtained.",

author = "Kaynak, {Mustafa N.} and Duman, {Tolga M.} and Kurtas, {Erozan M.}",

year = "2005",

language = "English (US)",

volume = "1",

pages = "704--708",

booktitle = "IEEE International Conference on Communications",

note = "2005 IEEE International Conference on Communications, ICC 2005 ; Conference date: 16-05-2005 Through 20-05-2005",

}

TY - GEN

T1 - Noise predictive belief propagation

AU - Kaynak, Mustafa N.

AU - Duman, Tolga M.

AU - Kurtas, Erozan M.

PY - 2005

Y1 - 2005

N2 - We introduce iterative noise whitening for belief propagation (BP) based channel detectors over inter-symbol interference (ISI) channels with correlated noise. Called noise predictive belief propagation (NPBP), the new scheme iteratively whitens the noise samples by modifying the edge probability computation of the BP algorithm. NPBP detectors based on finite impulse response (FIR) and infinite impulse response (IIR) prediction filters are introduced. In addition, we propose a novel prediction filter optimization method leading to a better noise whitening performance. Simulation results for both coded and uncoded systems and comparisons with maximum a posteriori (MAP) and BP detectors show that, significant improvements can be obtained.

AB - We introduce iterative noise whitening for belief propagation (BP) based channel detectors over inter-symbol interference (ISI) channels with correlated noise. Called noise predictive belief propagation (NPBP), the new scheme iteratively whitens the noise samples by modifying the edge probability computation of the BP algorithm. NPBP detectors based on finite impulse response (FIR) and infinite impulse response (IIR) prediction filters are introduced. In addition, we propose a novel prediction filter optimization method leading to a better noise whitening performance. Simulation results for both coded and uncoded systems and comparisons with maximum a posteriori (MAP) and BP detectors show that, significant improvements can be obtained.

UR - http://www.scopus.com/inward/record.url?scp=24344470171&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=24344470171&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:24344470171

VL - 1

SP - 704

EP - 708

BT - IEEE International Conference on Communications

T2 - 2005 IEEE International Conference on Communications, ICC 2005

Y2 - 16 May 2005 through 20 May 2005

ER -

Noise predictive belief propagation

Abstract

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ASJC Scopus subject areas

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